Abstract: A video encoding method includes: based on at least one of first distortion aware information about a current encoding unit and second distortion aware information about a corresponding reference encoding unit, determining a first predicted value of the current encoding unit using at least one interpolation filter, wherein the at least one type of interpolation filter may include an artificial intelligence (AI) interpolation filter; and encoding the current encoding unit based on the first predicted value of the current encoding unit.

Abstract: A comfort brake control system and a brake method for a vehicle is disclosed. The comfort brake control system includes: a human-machine interaction interface, configured to provide an interface of multiple optional comfort brake levels of the vehicle, and receive selection of one of the multiple comfort brake levels to switch a current comfort brake level of the vehicle, wherein each comfort brake level comprises a brake parameter corresponding to the comfort brake level, and the brake parameter comprises at least brake pressure and a brake pressure change rate of at least one brake cylinder of the vehicle; and a comfort brake module, configured to determine whether a current state of the vehicle meets a predetermined switching condition; and when it is determined that the switching condition is met, obtain a brake parameter corresponding to a selected comfort brake level, and transmit the obtained brake parameter to a brake system of the vehicle by using a vehicle bus of the vehicle.

Abstract: A gripping device comprising: a base; at least one pair of extendable linkages connected at a proximal end to the base; each extendable linkage having a gripping finger extending from a distal end of the extendable linkage; wherein the extendable linkages are arranged to extend or retract from the base so as to increase a radial distance between the gripping fingers.

Abstract: An approach is provided in which the approach trains a first machine learning model using a set of features corresponding to a set of build blocks. The set of build blocks include at least one dependency build block and at least one artifact package build block. The approach predicts a set of risk values of the set of build blocks using the trained first machine learning model, and marks at least one of the build blocks as a bottleneck in response to comparing the set of risk values against a risk threshold.

Abstract: This disclosure provides a computer-implemented method, a computer system and a computer program product for database compression oriented to combinations of fields of a database record. One or more combinations of fields of a record of a database are determined that satisfy a frequency criterion indicating that access frequencies of the one or more combinations of fields are higher than an access frequency threshold. The record is reorganized based on the one or more combinations of fields to store fields of each combination of the one or more combinations of fields in a respective contiguous storage space. The reorganized record is compressed by applying a compression scheme to the one or more combinations of fields.

Abstract: This application discloses a channel estimation method and apparatus. When time-domain channel estimation is performed on a first slot, the first slot and at least one second slot are first determined. The first slot and each second slot form continuous slots. Then, a first signal corresponding to the first slot and a second signal corresponding to each second slot are obtained, and a time-domain channel estimate for the first slot is determined based on the first signal and each second signal. In embodiments of this application, when a time-domain channel estimate for a specific slot is determined, time-domain channel estimation is performed by using time-domain correlation of channels in combination with signals of a plurality of slots, so as to obtain a more accurate channel estimation result, thereby improving baseband demodulation performance.

Abstract: Systems and methods for adjusting light emitted from a display of a device are provided. The adjusting includes obtaining, from light of an environment detected by at least one sensor, a measured color of light of the environment, and obtaining, from light of the environment detected by at least one sensor, a measured brightness of light of the environment. In response to the obtaining the measured color and the measured brightness of light, a color of light emitted from the display is adjusted from an initial color prior to the adjusting to a target color that matches the measured color. Further, a brightness of light emitted from the display is adjusted from an initial brightness emitted by the display prior to the adjusting to a target brightness that matches the measured brightness of light.

Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for predictive models. According to the method, a processor may provide a first list including at least one input variable of a predictive model and a second list including a plurality of variables of the predictive model. For each of input variables in the second list, the processor may determine contribution of the input variable to prediction of the predictive model with respect to the at least one input variable in the first list. The processor may update the first list by moving an input variable in the second list into the first list based on the determined contribution of the plurality of input variables. The processor may render one or more of input variables in the updated first list based on an order of the input variables in the updated first list.

Abstract: Systems and methods for automatically detecting and isolating objects in images. An image containing at least one object of interest is segmented by a segmentation module, based on the class of object each pixel of the image depicts. A bounding module then determines coordinates of a predetermined shape that covers at least a portion of the at least one object of interest. An application module then applies a bounding box having those coordinates and having the predetermined shape to the original image. In some embodiments, the coordinates are determined based on a mask layer that is based on the object classes in the image. In other embodiments, the coordinates are determined based on the mask layer and on an edge mask layer. Some embodiments comprise at least one neural network. In some embodiments, the objects of interest are text objects.

Abstract: Systems and methods for processing liquefied natural gas (LNG) can include an LNG production system with a methane refrigeration cycle downstream from an ethylene refrigeration cycle. The methane refrigeration cycle can be a closed loop methane refrigeration cycle that maintains a methane refrigerant separate from a natural gas feed, (e.g., compared to an open loop methane refrigeration cycle that extracts the methane refrigerant from the natural gas feed and recombines the methane refrigerant with the natural gas feed). The natural gas feed can be a medium or high nitrogen gas feed having a nitrogen content greater than 1.0% molarity.

Abstract: Disclosed are a computer-implemented method, a system and a computer program product for model exploration. Model feature importance of each model of a plurality of models can be obtained, the plurality of models can be grouped into a plurality of model clusters based on the model feature importance of each model, and the model feature importance can be presented by box-plot or confidence interval.

Abstract: Disclosed is a system for segmented simultaneous water injection and oil recovery through double pipes in horizontal section, comprising several packers, several oil-extracting mechanisms and several water-injection mechanisms, wherein each of the packers, each of the oil-extracting mechanisms, and each of the water-injection mechanisms has an injection channel and a production channel, when several packers, several oil-extracting mechanisms and several water-injection mechanisms are combined, each of the injection channels is connected in turn, and each of the production channels is also connected in turn, the oil-extracting mechanism can extract oil through the production channel, the water-injection mechanism can inject water through the injection channel. The beneficial effects of this disclosure include: the oil in the oil production section can be produced while the water injection section is injected with water.

Abstract: The present disclosure concerns a device for forming a multi-flavor composite structure filter rod in one step, including the following components: a tow transmission belt, a tow guiding horn-shaped mouth, a tow assembly paper collection groove, a cigarette lap adhesive applying device and multi-flavor adding devices. According to shapes and types of flavors, the multi-flavor adding devices are arranged in different sections to obtain one-step formation of the multi-flavor composite structure filter rods. The present disclosure also discloses a one-step method of forming the multi-flavor composite structure filter rod using the one-step forming device.

Abstract: Systems and methods for displaying media files on a device are provided. The device provides a first mode that displays a subset of media files, determined by a user query, from a plurality of media files. Once activated, the first mode persists on the device prior to becoming inactive. A second mode of the device displays the plurality of media files. The second mode is active when the first mode is inactive. An instruction is received from a user. When the instruction specifies the first mode by inclusion of a user query, a corresponding subset of files is obtained from a remote system. The subset of files is sequentially displayed until the period of time has elapsed according to the first mode. When the instruction does not specify a query, the plurality of files is polled for from a remote device and sequentially displayed according to the second mode.

Abstract: The present disclosure provides an IoT terminal and a picture updating method therefor, which belong to the field of display technology. The IoT terminal includes: a communicator configured to receive text and picture information; a microcontroller coupled with the communicator and configured to convert the text and picture information into a to-be-displayed picture; a storage tedevice coupled with the micro controller and configured to store the to-be-displayed picture; and a display device coupled with the micro controller. The micro controller is further configured to read the to-be-displayed picture from the storage device and write the to-be-displayed picture into the display device for display. The solution of the present disclosure enables the low-power IoT terminal to complete processing of pictures .

Abstract: A six-degree-of-freedom measurement method by machine vision based on physical decoupling. A point projector capable of emitting three laser beams perpendicular to each other is placed on a measured object. A rear-projection screen is configured to allow the three laser beams to be projected thereon as three laser points. The collection of motion images is performed by a camera. Plane coordinates of the three laser points are obtained by processing a sequence image. A mathematical decoupling model is built according to a nature of sphere and a spatial position relationship of three laser beams. The plane coordinates of the three laser points are input into the mathematical decoupling model to obtain six-degree-of-freedom information of the measured object.

Abstract: In an approach to improve video searching embodiments execute heuristic video searching based on importance of semantic features. Embodiments perform hierarchical aggregation of a parsed video into one or more clusters of video excerpts based on a plurality of video features, and display a word cloud to a user to guide feedback. Embodiments traverse the one or more clusters based on a data structure of the hierarchical aggregation and the feedback. Additionally, responsive to reaching selected leaf nodes of the data structure, embodiments generate one or more snapshots of the video excerpts associated with the leaf nodes, wherein the leaf nodes are selected based on the feedback. Further, embodiments display the one or more generated snapshots of the video excerpts to the user.

Abstract: The present disclosure concerns a device for forming a multi-flavor composite structure filter rod in one step, including the following components: a tow transmission belt, a tow guiding horn-shaped mouth, a tow assembly paper collection groove, a cigarette lap adhesive applying device and multi-flavor adding devices. According to shapes and types of flavors, the multi-flavor adding devices are arranged in different sections to obtain one-step formation of the multi-flavor composite structure filter rods. The present disclosure also discloses a one-step method of forming the multi-flavor composite structure filter rod using the one-step forming device.

Abstract: The invention relates to the field of health food technologies, and particularly to a composition and an application thereof in preparing a product for protecting mitochondria. The invention provides a composition, the raw materials of which include Haematococcus pluvialis, Lycium ruthenicum, Cordyceps militaris and nicotinamide. The composition has the effects of improving an oxidative stress level under a mitochondrial dysfunction and delaying mitochondrion-related aging. Compared with a single constituent, constituents in the composition cooperate with each other to produce a synergistic effect, which significantly improves an effect of protecting a mitochondrial function.

Abstract: A set of classifiable data containing a plurality of classes is ingested. A target class within the plurality of classes is determined. Using the set of classifiable data, an interactive recall rate chart is generated, and the interactive recall rate chart shows a set of target class recall rates against a set of class recall rates for the remainder of the plurality of classes. The interactive recall rate chart is presented to a user. A target class recall rate selection from the set of target class recall rates is received from the user. The set of classifiable data is reclassified, based on the target class recall rate selection.